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Information Technology 🏢 Full Time ⭐️ Verified

Metaverse & AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Digital Frontier of 2026

Nexus Future Systems is seeking a visionary Metaverse & AI Architect to lead our initiative in constructing immersive, intelligent digital worlds. As we prepare for the next era of spatial computing, you will be at the helm of integrating cutting-edge Artificial Intelligence with immersive environments, ensuring our platforms are not just functional, but revolutionary.

In this role, you will bridge the gap between abstract design concepts and technical execution, building scalable systems that define the standard for the metaverse landscape.

Why Join Us?

  • Work with a forward-thinking team focused on the future of interaction.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a hub in the heart of San Francisco.

Responsibilities

  • Architect Immersive Worlds: Design and implement scalable 3D environments and spatial interfaces using Unity and Unreal Engine, optimized for next-gen hardware.
  • AI Integration: Develop and integrate Large Language Models (LLMs) and computer vision algorithms into spatial environments to create intelligent, reactive digital entities.
  • WebXR & Cross-Platform: Ensure seamless interoperability across desktop, mobile, and emerging VR/AR headsets using WebXR standards.
  • Performance Optimization: Rigorously test and optimize rendering pipelines to ensure high frame rates and low latency in complex, data-rich environments.
  • Future-Proofing: Research emerging technologies (e.g., haptic feedback, spatial audio) to propose and prototype innovative user experiences.

Qualifications

  • Experience: 5+ years of experience in 3D graphics programming, VR/AR development, or software architecture.
  • Tech Stack: Proficiency in C#, C++, Python, and WebGL/Three.js.
  • AI Knowledge: Strong understanding of machine learning concepts, specifically applied to generative AI and computer vision within interactive media.
  • Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (Master’s preferred).
  • Problem Solving: Demonstrated ability to architect complex systems that handle real-time data synchronization across distributed networks.

Required Skills

Unity Unreal Engine WebGL Python C# C++ Machine Learning Computer Vision WebXR Spatial Computing 3D Modeling Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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